Proceedings of SciPy 2010

Statsmodels is a library for statistical and econometric analysis in Python. This paper discusses the current relationship between statistics and Python and open source more generally, outlining how the statsmodels package fills a gap in this relationship.

In audio-visual automatic speech recognition (AVASR) both acoustic and visual modalities of speech are used to identify what a person is saying. In this paper we propose a basic AVASR system implemented using SciPy, an open source Python library for scientific computing.

PySPH is a Python-based open source parallel framework for Smoothed Particle Hydrodynamics (SPH) simulations. It is distributed under a BSD license. The performance critical parts are implemented in Cython.

Particle-in-Cell (PIC) simulations are a popular approach to plasma physics problems in a variety of applications. These simulations range from interactive to very large, and are well suited to parallel architectures, such as GPUs.

Python along with various numerical and scientific libraries was used to create tools that enable fire protection engineers to perform various calculations and tasks including educational instruction, experimental work, and data visualization.

Space science deals with the bodies within the solar system and the interplanetary medium; the primary focus is on atmospheres and above—at Earth the short timescale variation in the the geomagnetic field, the Van Allen radiation belts and the deposition of energy into the upper atmosphere are key areas of investigation.

Today's supercomputers have hundreds of thousands of compute cores and this number is likely to grow. Many of today's algorithms will have to be rethought to take advantage of such large systems. New algorithms must provide fine grained parallelism and excellent scalability.

In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models.

The popular Sudoku puzzles which appear daily in newspapers the world over have, lately, attracted the attention of mathematicians and computer scientists. There are many, difficult, unsolved problems about Sudoku puzzles and their generalizations which make them especially interesting to mathematicians.

We will describe how the Space Telescope Science Institute is using Python in support of the next large space telescope, the James Webb Space Telescope (JWST). We will briefly describe the 6.5 meter segmented-mirror infra-red telescope, currently planned for a 2014 launch, and its science goals.

An Exposure Time Calculator (ETC) is an invaluable web tool for astronomers wishing to submit proposals to use the Hubble Space Telescope (HST). It provide a means of estimating how much telescope time will be needed to observe a specified source to the required accuracy.

ForecastWatch is a weather forecast verification and accuracy analysis system that collects over 70,000 weather forecasts per day. The system consists of data capture, verification, aggregation, audit and display components.

As colonial birds, weaver birds nest in groups in very particular trees and face specific challenges in the selection and establishment of their nests. Socially-living individuals may organize themselves in particular configurations to decrease the probability of events that could be detrimental to their own fitness.

A crucial behavior for assistive robots that operate in unstructured domestic settings is the ability to efficiently reconstruct the 3D geometry of novel objects at run time using no a priori knowledge of the object.

Theano is a compiler for mathematical expressions in Python that combines the convenience of NumPy's syntax with the speed of optimized native machine language. The user composes mathematical expressions in a high-level description that mimics NumPy's syntax and semantics, while being statically typed and functional (as opposed to imperative).

Singular value decomposition (SVD) is a powerful technique for finding similarities and patterns in large data sets. SVD has applications in text analysis, bioinformatics, and recommender systems, and in particular was used in many of the top entries to the Netflix Challenge.

The astrodata package is a part of the Gemini Telescope's python-based Data Reduction Suite. It is designed to help us deal in a normalized way with data from a variety of instruments and instrument-modes.

The Chandra X-ray Observatory has been providing groundbreaking astronomical data since its launch by NASA in July of 1999. Now starting the second decade of science the Chandra operations team has been using Python to create predictive thermal models of key spacecraft components.